Department of Statistics and Operations Research

Ph.d.

Dept. data last updated on :01/12/2021

COURSE.NAME :

Ph.D. (Statistics)

COURSE.SPEC :


  • Statistical Inference

  • Order Statistics

  • Bayesian Statistics

  • Design of Experiments

  • Sampling

  • Reliability Analysis

  • Image Analysis

  • Econometrics.

COURSE.NOS :

As per the UGC guidelines and availability of seats, each year

COURSE.DEGREE :

M.A./M.Sc. (Statistics)

For more detail, please refer to link: https://www.amucontrollerexams.com


COURSE.COURSE :



COURSE.JP :

Academic: Teaching and /or research positions such as Assistant Professor, Post Doctoral Fellow, Research Assistant, Research Associate etc.

Industrial Research: Positions available in R&D units of industry and administrative set ups

Statistical Administration: Jobs available at national and international levels in the organisations such as NSSO, CSO, ISS, UNO etc.

Entrepreneur: Statistical Consultancy, Services for conducting survey, Services to analyse the available data

COURSE.PEO :

The educational objectives of Ph.D. Statistics are as follows:

  • To inculcate the skill of reading critically, the literature of research, that can lead to analysis and clear comprehension of the kernel of the content from the literature.

  • To create ability to formulate a new research problem/question.

  • To provide the advanced knowledge of Statistics that can solve their research problems/questions

  • To develop the ability to present the results of the research as per the internationally recognised style of academic writing and that of oral presentation.

  • To be able to conduct advanced research in the subject, independently.


COURSE.PO :

The program outcomes of the Ph.D. are as follows:

  • Have a solid foundation in Statistical Theory, Methodology, and application of the theories for analysis of simulated and real data sets.

  • Have a holistic understanding of data collection, management, processing, analysis and interpretation. Being proficient in the use of statistical software and writing statistical code.

  • Have experience in one or more application areas and work as a part of a collaborative team in analyzing real data and solving real-world problems;

  • Be able to conduct research either independently or collaboratively in an area of statistics;

  • Be able to teach statistical courses up to UG/PG level independently.


COURSE.Accr :

Yes

COURSE.NAME :

Ph.D. (Operations Research)

COURSE.SPEC :

Mathematical Programming

Mathematical Programming in Sample Surveys

Mathematical Programming in Reliability

Multilevel Programming

Multiobjective Programming

Supply Chain Management

Fuzzy Optimization

COURSE.NOS :

As per the UGC guidelines and availability of seats, each year

COURSE.DEGREE :

M.A./M.Sc. (Operations Research)

For more detail, please refer to link: https://www.amucontrollerexams.com

COURSE.COURSE :

COURSE.JP :

Jobs Prospects:

Academic: Teaching and /or research positions such as Assistant Professor, Post Doctoral Fellow, Research Assistant, Research Associate etc.

Industrial Research: Positions available in R&D units of industry and administrative set ups

Statistical Administration: Jobs available at national and international levels in the organisations such as NSSO, CSO, ISS, UNO etc.

Entrepreneur: Statistical Consultancy, Services for conducting survey, Services to analyse the available data


COURSE.PEO :

The objective of the Ph.D. (Operations Research) program is to develop the following skills among the research scholars:

  • Critical analysis of the issues faced by industry, and to think about the concepts and techniques needed to develop scientific solutions to the real life decision-making problems.

  • Effective communication of the knowledge of his/her field and can draft research articles to present that knowledge.

  • Application of appropriate principles and procedures to the recognition, evaluation, interpretation, and understanding of issues and problems.

  • Acquiring the knowledge, skills, ethics, and independence of thoughts and actions as expected from a scholar.

COURSE.PO :

After successful completion of the course, scholars will be able to:

  • Formulate decision-making models appropriate for various engineering and management science applications in the areas such as Supply Chain Management, Reliability Optimization, Transportation Planning Decision Problems, and Sampling Optimization.

  • Develop computational and mathematical models for real life decision-making problems that include the use of modeling tools and computational tools, as well as analytical skills to evaluate the problem.

  • Derive fundamental results of mathematical or analytical nature that lead to the development of algorithms for supporting decision-making.

Develop programming codes and use optimization software like AMPL, CPLEX, Python, R, LINGO, and MINITAB for complex decision-making and optimization problems.

COURSE.Accr :

Yes